User clustering and analysis method using body composition big data, and system thereof

Abstract

A user clustering and analysis method using body composition big data and a system includes analyzing, by a body composition analyzer, a user's body composition, and transmitting analyzed body composition data of the user to a user terminal, receiving, by the user terminal, the user's body composition data, and transmitting the body composition data to a service provider server providing services related to body composition analysis or executing a body composition data analysis application thereof, and analyzing, by the service provider server or the body composition data analysis application of the user terminal, the user's body composition data accumulated for a predetermined period of time, assigning a cluster that is a group of similar body composition, and providing the cluster to the user terminal or displaying the cluster on a display screen.

What is claimed is: 
     
         1 . A user clustering and analysis method using body composition big data, the method comprising:
 a) analyzing, by a body composition analyzer, a user's body composition as the user uses the body composition analyzer to test his or her body composition, and transmitting analyzed body composition data of the user to a user terminal;   b) receiving, by the user terminal, the user's body composition data from the body composition analyzer, and transmitting the body composition data to a service provider server providing services related to body composition analysis, or executing a body composition data analysis application installed in the user terminal; and   c) receiving, by the service provider server, the user's body composition data through the user terminal, analyzing the user's body composition data accumulated for a predetermined period of time, assigning a cluster that is a group of similar body composition, and providing the cluster to the user terminal, or analyzing, by the user terminal, the user's body composition data accumulated for the predetermined period of time by execution of the body composition data analysis application, assigning the cluster that is the group of the similar body composition, and displaying the cluster on a display screen.   
     
     
         2 . The method of  claim 1 , wherein, in step c), when the service provider server analyzes the user's body composition data, assigns the cluster, which is the group of the similar body composition, and provides the cluster to the user terminal, or the user terminal analyzes the user's body composition data by execution of the body composition data analysis application, assigns the cluster that is the group of the similar body composition, and displays the cluster on the display screen, a description of the assigned cluster is provided. 
     
     
         3 . The method of  claim 2 , wherein, in providing of the description of the assigned cluster, a description according to a cluster template that is set in advance in response to the cluster assigned to the user (i.e., an examinee) is provided. 
     
     
         4 . The method of  claim 3 , wherein, in the template, a cluster name of the examinee, an illustration of the cluster, a one-line description expressing the cluster, a description of a naming reason for the cluster name, a position and description of the examinee in a big data map corresponding to age and gender of the examinee, a description of a percentile of the body composition of the examinee, and a histogram description are provided. 
     
     
         5 . The method of  claim 2 , wherein the service provider server or the body composition data analysis application assigns a specific name to each assigned cluster. 
     
     
         6 . The method of  claim 5 , wherein the service provider server or the body composition data analysis application provides an illustration corresponding to each assigned specific name. 
     
     
         7 . The method of  claim 1 , wherein the service provider server or the body composition data analysis application provides position information of the user on the big data in relation to the assigned cluster. 
     
     
         8 . The method of  claim 5 , wherein, when the service provider server analyzes the user's body composition data, assigns the cluster, which is the group of the similar body composition, and provides the cluster to the user terminal, or the user terminal analyzes the user's body composition data by the execution of the body composition data analysis application, assigns the cluster that is the group of the similar body composition, and displays the cluster on the display screen, a description for a naming reason for the name assigned to each cluster is provided. 
     
     
         9 . The method of  claim 8 , wherein the service provider server or the body composition data analysis application provides information about that the cluster assigned to the user is a cluster corresponding to what percentage (%) of all examinees. 
     
     
         10 . The method of  claim 8 , wherein the service provider server or the body composition data analysis application provides a percentile graph of the user on the big data. 
     
     
         11 . The method of  claim 8 , wherein the service provider server or the body composition data analysis application provides an image storage function in a form of a card in which an illustration and a name are combined with each other. 
     
     
         12 . The method of  claim 1 , wherein, in step c) of analyzing the user's body composition data by the service provider server or the body composition data analysis application installed the user terminal, the body composition big data of a group of at least one among a same country, gender, and age as those of the user (i.e., the examinee) is extracted to generate a big data map, and then analysis is performed on how much respective levels of at least one of obesity, muscle mass amount, and sarcopenia are illustrated in the group according to which coordinates the body composition data of the user (i.e., the examinee) is positioned in the generated body composition big data map. 
     
     
         13 . The method of  claim 1 , wherein, in step c) of analyzing the user's body composition data and assigning the cluster, which is the group of the similar body composition, by the service provider server or the body composition data analysis application installed the user terminal, a predetermined statistically significant Body Mass Index (BMI) section is divided into a plurality of stages on the body composition big data for each user's gender/age by country, a predetermined portion of a Percentage Body Fat (PBF) from total body composition big data included in a divided BMI band is further divided into a plurality of regions, a cluster classification map that is changed depending on data parameters of each gender and each age group and has continuity is generated, a map to be matched through age/gender information of the user who has completed a body composition test is retrieved from a database (DB) to find a percentile position of each body composition of weight, height, body fat mass, and skeletal muscle mass and locate the percentile position on the map, and then the cluster is assigned by a method of assigning one of a plurality of clusters on the basis of a unique address of a coordinate region to which the user (i.e., the examinee) belongs. 
     
     
         14 . The method of  claim 13 , wherein the section, from BMI 10 to BMI 42, statistically significant on the body composition big data for each user's gender/age by country is divided into 60 stages. 
     
     
         15 . The method of  claim 13 , wherein an upper 1% to 99% of the PBF among the total body composition big data included in a divided BMI band is further divided into nine regions by drawing lines. 
     
     
         16 . A user clustering and analysis system using body composition big data, the system comprising:
 a body composition analyzer configured to analyze a user's body composition as the user uses the body composition analyzer to test his or her body composition, and transmit analyzed body composition data of the user to a user terminal;   the user terminal configured to receive the user's body composition data from the body composition analyzer, and transmit the body composition data to a service provider server providing services related to body composition analysis, or configured to execute a body composition data analysis application installed in the user terminal, analyze the user's body composition data, assign a cluster that is a group of similar body composition, and display the cluster on a display screen; and   the service provider server configured to receive, the user's body composition data through the user terminal, analyze the user's body composition data accumulated for a predetermined period of time, assign the cluster that is the group of the similar body composition, and provide the cluster to the user terminal.   
     
     
         17 . The system of  claim 16 , wherein, when the service provider server analyzes the user's body composition data, assigns the cluster, which is the group of the similar body composition, and provides the cluster to the user terminal, or the user terminal analyzes the user's body composition data by execution of the body composition data analysis application, assigns the cluster that is the group of the similar body composition, and displays the cluster on the display screen, a description of the assigned cluster is provided. 
     
     
         18 . The system of  claim 17 , wherein, in providing of the description of the assigned cluster, a description according to a cluster template that is set in advance in response to the cluster assigned to the user (i.e., an examinee) is provided. 
     
     
         19 . The system of  claim 18 , wherein, in the template, a cluster name of the examinee, an illustration of the cluster, a one-line description expressing the cluster, a description of a naming reason for the cluster name, a position and description of the examinee in a big data map corresponding to age and gender of the examinee, a description of a percentile of the body composition of the examinee and a histogram description are provided. 
     
     
         20 . The system of  claim 17 , wherein the service provider server or the body composition data analysis application assigns a specific name to each assigned cluster. 
     
     
         21 . The system of  claim 20 , wherein the service provider server or the body composition data analysis application provides an illustration corresponding to each assigned specific name. 
     
     
         22 . The system of  claim 17 , wherein the service provider server or the body composition data analysis application provides position information of the user on the big data in relation to the assigned cluster. 
     
     
         23 . The system of  claim 20 , wherein, when the service provider server analyzes the user's body composition data, assigns the cluster, which is the group of the similar body composition, and provides the cluster to the user terminal or the user terminal analyzes the user's body composition data by the execution of the body composition data analysis application, assigns the cluster that is the group of the similar body composition, and displays the cluster on the display screen, a description for a naming reason for the name assigned to each cluster is provided. 
     
     
         24 . The system of  claim 17 , wherein the service provider server or the body composition data analysis application provides information about that the cluster assigned to the user is a cluster corresponding to what percentage (%) of all examinees. 
     
     
         25 . The system of  claim 17 , wherein the service provider server or the body composition data analysis application provides a percentile graph of the user on the big data. 
     
     
         26 . The system of  claim 17 , wherein the service provider server or the body composition data analysis application provides an image storage function in a form of a card in which an illustration and a name are combined with each other. 
     
     
         27 . The system of  claim 16 , wherein, when the service provider server or the body composition data analysis application installed in the user terminal analyzes the user's body composition data, the body composition big data of a group of at least one among a same country, gender, and age as those of the user (i.e., the examinee) is extracted to generate a big data map, and then analysis is performed on how much respective levels of at least one of obesity, muscle mass amount, and sarcopenia are illustrated in the group according to which coordinates the body composition data of the user (i.e., the examinee) is positioned in the generated body composition big data map. 
     
     
         28 . The system of  claim 16 , wherein, when the service provider server or the body composition data analysis application installed in the user terminal analyzes the user's body composition data and assigns the cluster, which is the group of the similar body composition, a predetermined statistically significant Body Mass Index (BMI) section is divided into a plurality of stages on the body composition big data for each user's gender/age by country, a predetermined portion of a Percentage Body Fat (PBF) from total body composition big data included in a divided BMI band is further divided into a plurality of regions, a cluster classification map that is changed depending on data parameters of each gender and each age group and has continuity is generated, a map to be matched through age/gender information of the user who has completed a body composition test is retrieved from a database (DB) to find a percentile position of each body composition of weight, height, body fat mass, and skeletal muscle mass and locate the percentile position on the map, and then the cluster is assigned by a method of assigning one of a plurality of clusters on the basis of a unique address of a coordinate region to which the user (i.e., the examinee) belongs. 
     
     
         29 . The system of  claim 28 , wherein the section, from BMI 10 to BMI 42, statistically significant on the body composition big data for each user's gender/age by country is divided into 60 stages. 
     
     
         30 . The system of  claim 28 , wherein an upper 1% to 99% of the PBF among the total body composition big data included in the divided BMI band is further divided into nine regions by drawing lines. 
     
     
         31 . The system of  claim 16 , wherein the user terminal is loaded with a specific health application, which is provided by the service provider server and configured to have functions of interworking with the body composition analyzer, allowing the user to view various body composition analysis results, and accumulating and recording changes in body composition. 
     
     
         32 . The system of  claim 16 , wherein the service provider server is provided with built-in databases, comprising:
 a member information DB configured to store information about service provider's health members subscribed to their memberships in order to receive various services provided by the service provider;   a body composition DB configured to store body composition data of all users;   a cluster DB configured to store final data of BMI and PBF required for cluster definition, and at the same time, record cumulative test results of the user (i.e., the examinee) in a big data DB; and   the big data DB configured to provide information (i.e., data) to update the cluster DB on the basis of changed big data to the cluster DB.   
     
     
         33 . The system of  claim 16 , wherein the service provider server is loaded with a one-month body composition analysis algorithm, which is a kind of software program, realized to use the body composition data of the user (i.e., the examinee) for one month and calculate BMI and PBF, which are required for cluster definition. 
     
     
         34 . A body mass index (BMI) band comprising:
 an overall shape of the band divided into a plurality of cells on a two-dimensional plane.   
     
     
         35 . The BMI band of  claim 34 , further comprising:
 a cluster further divided according to a Percentage Body Fat (PBF).   
     
     
         36 . The BMI band of  claim 34 , wherein regions of the plurality of cells of the BMI band are different from each other. 
     
     
         37 . The BMI band of  claim 34 , wherein, among four lines forming each specific cell of the BMI band, one pair of lines facing each other is a straight line and is parallel to an axis. 
     
     
         38 . The BMI band of  claim 34 , wherein, among the four lines forming each specific cell of the BMI band, one pair of lines facing each other is a curved line, and two lines forming each pair are concave or convex to each other. 
     
     
         39 . The BMI band of  claim 34 , wherein a value matched to a specific person is displayed on the BMI band. 
     
     
         40 . The BMI band of  claim 34 , wherein at least any one of a past value, a present value, a future target value, a future predicted value, and a trend line, which match a specific person, is displayed on the BMI band.